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Cited by 603

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The Receptor for Ciliary Neurotrophic Factor

Davis, Samuel, Aldrich, Thomas H., Valenzuela, David M., Wong, Vivien, Furth, Mark E., Squinto, Stephen P., Yancopoulos, George D.·1991·Science

Abstract

Although neurotrophic factors were originally isolated on the basis of their ability to support the survival of neurons, these molecules are now thought to influence many aspects of the development and maintenance of the nervous system. Identifying the receptors for these neurotrophic factors should aid in identifying the cells on which these factors act and in understanding their precise mechanisms of action. A "tagged-ligand panning" procedure was used to clone a receptor for ciliary neurotrophic factor (CNTF). This receptor is expressed exclusively within the nervous system and skeletal muscle. The CNTF receptor has a structure unrelated to the receptors utilized by the nerve growth factor family of neurotrophic molecules, but instead is most homologous to the receptor for a cytokine, interleukin-6. This similarity suggests that the CNTF receptor, like the interleukin-6 receptor, requires a second, signal-transducing component. In contrast to all known receptors, the CNTF receptor is anchored to cell membranes by a glycosyl-phosphatidylinositol linkage.

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Metadata

Authors
Davis, S., Aldrich, T. H., Valenzuela, D. M., Wong, V., Furth, M. E., Squinto, S. P., & Yancopoulos, G. D.
Venue
Science
Published
1991-07-05
Volume
253
Issue
5015
Pages
59-63
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2057857889
Cited by
603
References
5
FWCI
24.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Receptor for Ciliary Neurotrophic Factor. https://app.cochat.ai/papers/10.1126/science.1648265
The paper
Davis, S., Aldrich, T. H., Valenzuela, D. M., Wong, V., Furth, M. E., Squinto, S. P., & Yancopoulos, G. D. (1991). The Receptor for Ciliary Neurotrophic Factor. Science. https://doi.org/10.1126/science.1648265

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.